typo

Author: shubham soni

articles/machine-learning/v1/how-to-inference-onnx-automl-image-models-v1.md

@@ -124,7 +124,7 @@ automl_image_run = AutoMLRun(experiment=experiment, run_id=run_id)
 best_child_run = automl_image_run.get_best_child()
 ```
 
-Use the following model specific arguments to submit the script. For more details on arguments, refer to [model specific hyperparameters](reference-automl-images-hyperparameters-v1.md#model-specific-hyperparameters) and for supported object detection model names refer to the [supported model algorithms section](how-to-auto-train-image-models-v1.md#supported-model-algorithms).
+Use the following model specific arguments to submit the script. For more details on arguments, refer to [model specific hyperparameters](reference-automl-images-hyperparameters-v1.md#model-specific-hyperparameters) and for supported object detection model names refer to the [supported model algorithm section](how-to-auto-train-image-models-v1.md#supported-model-algorithms).
 
 To get the argument values needed to create the batch scoring model, refer to the scoring scripts generated under the outputs folder of the AutoML training runs. Use the hyperparameter values available in the model settings variable inside the scoring file for the best child run.